File size: 3,383 Bytes
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license: apache-2.0
tags:
- gguf
- metacortex-ai
- on-device
- receipts
---
# metacortex-models
GGUF models used by [metacortex-ai](https://github.com/nicaibutou1993/metacortex-ai) for on-device AI with receipt-based attestation.
These files are hosted here to provide authoritative SHA-256 reference hashes for the [receipt model verification](https://github.com/nicaibutou1993/metacortex-ai/blob/main/docs/receipts-spec.md#model-verification-planned) feature.
## Models
| File | Parameters | Quantization | Size | Upstream Source |
|------|-----------|-------------|------|----------------|
| `Qwen3.5-2B-Q4_K_M.gguf` | 2B | Q4_K_M | 1.2 GB | [unsloth/Qwen3.5-2B-GGUF](https://huggingface.co/unsloth/Qwen3.5-2B-GGUF) |
| `Qwen3.5-2B-Q8_0.gguf` | 2B | Q8_0 | 2.0 GB | [unsloth/Qwen3.5-2B-GGUF](https://huggingface.co/unsloth/Qwen3.5-2B-GGUF) |
| `Qwen3.5-4B-Q4_K_M.gguf` | 4B | Q4_K_M | 2.6 GB | [unsloth/Qwen3.5-4B-GGUF](https://huggingface.co/unsloth/Qwen3.5-4B-GGUF) |
| `Qwen3.5-4B-Q8_0.gguf` | 4B | Q8_0 | 4.2 GB | [unsloth/Qwen3.5-4B-GGUF](https://huggingface.co/unsloth/Qwen3.5-4B-GGUF) |
| `Qwen3.5-9B-Q4_K_M.gguf` | 9B | Q4_K_M | 5.3 GB | [unsloth/Qwen3.5-9B-GGUF](https://huggingface.co/unsloth/Qwen3.5-9B-GGUF) |
| `Qwen3.5-9B-Q8_0.gguf` | 9B | Q8_0 | 8.9 GB | [unsloth/Qwen3.5-9B-GGUF](https://huggingface.co/unsloth/Qwen3.5-9B-GGUF) |
| `Qwen3.5-27B-Q4_K_M.gguf` | 27B | Q4_K_M | 16 GB | [unsloth/Qwen3.5-27B-GGUF](https://huggingface.co/unsloth/Qwen3.5-27B-GGUF) |
| `Qwen3.5-27B-Q8_0.gguf` | 27B | Q8_0 | 27 GB | [unsloth/Qwen3.5-27B-GGUF](https://huggingface.co/unsloth/Qwen3.5-27B-GGUF) |
| `embeddinggemma-300m-qat-Q8_0.gguf` | 300M | Q8_0 | 313 MB | [ggml-org/embeddinggemma-300m-qat-q8_0-GGUF](https://huggingface.co/ggml-org/embeddinggemma-300m-qat-q8_0-GGUF) |
## SHA-256 Checksums
```
aaf42c8b7c3cab2bf3d69c355048d4a0ee9973d48f16c731c0520ee914699223 Qwen3.5-2B-Q4_K_M.gguf
1b04acba824817554f4ce23639bc8495ff70453b8fcb047900c731521021f2c1 Qwen3.5-2B-Q8_0.gguf
00fe7986ff5f6b463e62455821146049db6f9313603938a70800d1fb69ef11a4 Qwen3.5-4B-Q4_K_M.gguf
10cc391b403021dd11c614679d2fd92f611c3681d29e29651b717316965d61e1 Qwen3.5-4B-Q8_0.gguf
03b74727a860a56338e042c4420bb3f04b2fec5734175f4cb9fa853daf52b7e8 Qwen3.5-9B-Q4_K_M.gguf
809626574d0cb43d4becfa56169980da2bb448f2299270f7be443cb89d0a6ae4 Qwen3.5-9B-Q8_0.gguf
84b5f7f112156d63836a01a69dc3f11a6ba63b10a23b8ca7a7efaf52d5a2d806 Qwen3.5-27B-Q4_K_M.gguf
6b0a101b0a86697fe11eabcc1a7db72699a9f3d4b18b6a1ac75ea3fb2c26c450 Qwen3.5-27B-Q8_0.gguf
6fa0c02a9c302be6f977521d399b4de3a46310a4f2621ee0063747881b673f67 embeddinggemma-300m-qat-Q8_0.gguf
```
## Purpose
Each metacortex-ai receipt includes a `gguf_sha256` field (SHA-256 of the local model file). Users can compare this against the hashes published here to verify the model file on disk is genuine and unmodified.
This does **not** prove that this specific model generated the response -- only that an unmodified copy of the model exists on the device. See the [receipts spec](https://github.com/nicaibutou1993/metacortex-ai/blob/main/docs/receipts-spec.md) for the full trust model.
## Usage with llama-server
```bash
# Chat model
llama-server --model Qwen3.5-9B-Q4_K_M.gguf --jinja --reasoning-format deepseek -ngl 99
# Embedding model
llama-server --model embeddinggemma-300m-qat-Q8_0.gguf --embedding --pooling mean -c 2048
```
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